PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

7.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (305 utterances, 1,076 words searched).

  1. and the biggest one is the purple one . MOT · eng_british_Manchester_II/liz11b.cha, line 124 · Liz 2;02
  2. and then green . MOT · eng_british_Manchester_II/liz11b.cha, line 173 · Liz 2;02
  3. and now it's orange . MOT · eng_british_Manchester_II/liz11b.cha, line 181 · Liz 2;02
  4. and then # red . MOT · eng_british_Manchester_II/liz11b.cha, line 183 · Liz 2;02
  5. that looks like a Mummy tiger and a baby tiger , doesn't it ? MOT · eng_british_Manchester_II/liz11b.cha, line 550 · Liz 2;02
  6. yeah or it could be Daddy tiger and baby tiger . MOT · eng_british_Manchester_II/liz11b.cha, line 557 · Liz 2;02
  7. yeah and Liz . MOT · eng_british_Manchester_II/liz11b.cha, line 562 · Liz 2;02
  8. and some cakes . MOT · eng_british_Manchester_II/liz11b.cha, line 1169 · Liz 2;02
  1. MOTI don't think they're all going to fit like that , are they ?
    MOTyou have to put the biggest one on first .
    MOT*MOT: and the biggest one is the purple one .
    CHIyeah .
    MOTyeah .
  2. MOTthis blue one is bigger than the orange one .
    MOTyeah that's right .
    MOT*MOT: and then green .
    CHIthen green .
    MOTyeah .
  3. MOTyeah .
    MOTer yellow .
    MOT*MOT: and now it's orange .
    MOTand then # red .
    MOToh: it's the post .
  4. MOTer yellow .
    MOTand now it's orange .
    MOT*MOT: and then # red .
    MOToh: it's the post .
    CHIpost .
  5. MOTa tiger .
    CHIyeah .
    MOT*MOT: that looks like a Mummy tiger and a baby tiger , doesn't it ?
    CHIMummy Daddy .
    CHIDaddy tiger .
  6. CHIMummy Daddy .
    CHIDaddy tiger .
    MOT*MOT: yeah or it could be Daddy tiger and baby tiger .
    CHIand Liz .
    MOTyeah and Liz .
  7. MOTyeah or it could be Daddy tiger and baby tiger .
    CHIand Liz .
    MOT*MOT: yeah and Liz .
    MOTLiz tiger .
    CHIthis one .
  8. CHIcooking cakes .
    CHIcooking cakes .
    MOT*MOT: and some cakes .
    CHIthose ones .
    CHIand those ones .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Liz eng_british_Manchester_II7.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz11b.chaLiz 2;2.231,076887.43

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. and8 · 100.0%